Darren Homrighausen |
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Instructional Associate Professor |
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| Department of Statistics | |||||||||||||||||
| Texas A&M University | |||||||||||||||||
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| Overview |
Over time, I've become much more interested in teaching; particularly at the masters level. I have taught and developed a wide variety of classes, ranging from undergraduate to advanced PhD levels at a variety of universities. See below for a list of classes along with a good amount of course materials I have produced. In my research, I have done work in several applied and theoretical areas. I have worked extensively on developing both methods and theory for solving various problems in astronomy and cosmology. This research introduced me to the field known as inverse problems, where the observed data are actually noisy version of smooth functionals of the object of interest. Additionally, I have spent a fair amount of time researching the prediction risk implications of empirical tuning parameter selection for lasso-type methods. More recently, I have become interested in addressing some of the philosophies that currently dominate the field of macroeconomic forecasting. Most notably, the overparameterization and complexity that results the over reliance on microeconomic foundations for doing predictions. Lastly, I have worked on examining the statistical implications of computational approximations. More specifically, investigating the intriguing possibility that these approximations can actually improve statistical performance.
For a cv, click
here.
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| Teaching |
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| Talks | |
| Bio |
I have a bachelors degree from the University of Colorado in
economics and math, and a masters and Ph.D. from Carnegie Mellon
University in statistics, under the direction
of Chris Genovese. Outside of academia, I enjoy welding and metal working, riding my bike, and,
perhaps most of all, coffee.
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| Students |
If you would like to work with me, please send me an email with a brief description of your research interests.
We'll set up a meeting to chat.
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